Being Open in the Era of Privacy
When Netflix announced a 1 million dollar challenge for improving their recommendation engine, together with releasing 100 million movie ratings in 2006, they knew little what would happen next. Netflix has been working on a recommender system for years by then, were recognized for their business innovation as well... Read more
Help Set the Standards for Analytics Professionals For a Chance to Win Data Science Gifts
As the role of data and analytics is expanding rapidly in creating new business models or changing existing ones, demand for analytics professionals is growing at an increasing rate. The world has witnessed an explosion in the number of people describing themselves as data scientists or analytics professionals. This... Read more
All The Cool Things You Can Do With PostgreSQL for Data Analysis
We all know that one of the biggest tasks is cleaning our data and getting it ready for analysis. Once you’ve spent all that time cleaning your data I will argue you should store it in a relational database. While you may not do all your analysis there –... Read more
Why Do Tree Ensembles Work?
Ensembles of decision trees (e.g., the random forest and AdaBoost algorithms) are powerful and well-known methods of classification and regression. We will survey work aimed at understanding the statistical properties of decision tree ensembles, with the goal of explaining why they work. An elementary probabilistic motivation for ensemble methods... Read more
How to Develop the Five Soft Skills That Will Make You a Great Analyst
Analysts often assume that the best way to advance their careers or provide more value is to improve their technical chops. While it’s true that you need a baseline of technical skills to conduct analysis, most of us need further development of our soft skills rather than further honing... Read more
What You Need to Know About Adopting Big Data, AI, and Machine Learning
Most businesses are now very familiar with technologies like big data analytics, artificial intelligence (AI) and machine learning (ML). Executives have poured over case studies and performance statistics to better understand how these technologies can improve their products and services, as well as improve efficiencies and reduce costs associated... Read more
Good, Fast, Cheap: How to do Data Science with Missing Data
When doing any sort of data science problem, we will inevitably run into missing data. Let’s say we’re interviewing 100 people and are recording their answers on a piece of paper in front of us. Specifically, one of our questions asks about income. Consider a few examples of missing... Read more
Unleashing the Power of AI Machine Learning to Improve the Hiring Process
Undoubtedly, the power of machine and algorithmic driven intelligence empowered by exponentially growing data – collectively referred to as artificial intelligence (AI), riding on the cusp of cloud-based computing, has tremendously revolutionized our visions and perception beyond any bounds. Cumulatively, rapid scaling of digital technologies is driving out-of-box boundaries... Read more
Automating Machine Learning: Just How Much?
Many businesses are interested in deploying machine learning, predictive analytics, or AI to gain the upper hand and make the right decisions. This can be a struggle as finding the right technology and trustworthy experts is both expensive and complex. Even when the technology is provided, deploying machine learning... Read more
Reinforcement Learning vs. Differentiable Programming
Check out this talk from a London meetup where I spoke on differential programming with Julia! Watch here. We’ve discussed the idea of differentiable programming, where we incorporate existing programs into deep learning models. But if you’re a researcher building, say, a self-driving car, what does differentiable programming mean in... Read more